Machine Learning Scientist - Merchant & Transaction

Our client, a leading data driven financial technology company is seeking a Senior Machine Learning Scientist to join its advanced Data Science organization. We are looking for a highly skilled ML expert with deep experience in multiclass classification, credit/debit card transaction data, and end-to-end production machine learning systems. This role is ideal for someone who thrives on transforming messy, semi structured partner data into high quality structured data products at scale, * Extensive experience leading end-to-end production ML projects, including model development, deployment, monitoring, and optimization \n

• Strong expertise in multiclass classification, including model design, evaluation, and productionalization using modern ML like Transformer-based architectures, encoder models, for classification. \n

• Experience working with financial services data, especially credit card and debit card transaction data \n

• Deep knowledge of machine learning and statistical fundamentals, with the ability to translate business problems into practical ML solutions \n

• Strong background in NLP (classification, entity extraction, entity resolution) and familiarity with models such as BERT, LLMs, and classical NLP techniques \n

• Solid software engineering and data engineering skills; expert in Python and SQL with experience writing production quality code \n

• Experience working with cloud data warehouses (e.g., Redshift, Snowflake) and data lakes \n

• Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related field, plus 5+ years of industry experience \n

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• Conduct R&D to propose, experiment with, and deploy new ML models, including LLM based approaches \n

• Build and optimize end-to-end production ML pipelines, from data ingestion through deployment, monitoring, and continuous improvement \n

• Develop metrics, evaluation frameworks, and quality measurement systems to ensure high accuracy model outputs \n

• Mine large scale consumer datasets, including credit and debit card transaction data to identify new ML opportunities and data product innovations \n

• Serve as an internal ML expert, supporting cross functional teams, clients, and stakeholders \n

• Communicate methodologies, findings, and results to technical and non-technical audiences \n

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